Al-Ahliyya Amman University is located in Amman, Jordan. Founded in 1990, it was the first private university in Jordan. The university is accredited by the Ministry of Higher Education and Scientific Research, Jordan, and is a member of four university associations. Foreign students come from a diversity of countries, for example Syria, Iraq, the United States, Japan and Israel. Wikipedia.
Al Sharabati T.,Al-Ahliyya Amman University
Journal of Communications Software and Systems | Year: 2016
In this paper, the effects of intersystem cross correlation of 3GPP user' codes to GPS satellites' codes will be demonstrated. The investigation and analysis are in the form of cross correlation between 3GPP users' codes and GPS satellites Pseudo Random Noise (PRN) sequences. The investigation and analysis will involve the similarities in generation and system architecture of both the 3GPP user' codes and GPS satellites' codes. The extent of intersystem interference will be displayed in the form of results for cross correlation, correlation coefficient, and signal to noise ratio. Recommendations will be made based on the results. © 2016 CCIS.
Shakya P.,Integral University |
Madhav N.V.S.,Dehradoon Institute of Technology |
Shakya A.K.,Al-Ahliyya Amman University |
Singh K.,Integral University
Journal of Controlled Release | Year: 2011
Rapid developments in the field of molecular biology and gene technology resulted in generation of many macromolecular drugs including peptides, proteins, polysaccharides and nucleic acids in great number possessing superior pharmacological efficacy with site specificity and devoid of untoward and toxic effects. However, the main impediment for the oral delivery of these drugs as potential therapeutic agents is their extensive pre-systemic metabolism, instability in acidic environment resulting into inadequate and erratic oral absorption. Parenteral route of administration is the only established route that overcomes all these drawbacks associated with these orally less/inefficient drugs. But, these formulations are costly, have least patient compliance, require repeated administration, in addition to the other hazardous effects associated with this route. Over the last few decades pharmaceutical scientists throughout the world are trying to explore transdermal and transmucosal routes as an alternative to injections. Historically, oral transmucosal drug delivery has received intensive interest since ancient times for the most widely utilized route of administration for the systemic delivery of drugs. In more recent years, better systemic bioavailability of many drugs has been achieved by oromucosal route. Among the various transmucosal sites available, soft-palatal mucosa was also found to be the most convenient and easily accessible novel site for the delivery of therapeutic agents for systemic delivery as retentive dosage forms, because it has abundant vascularization and rapid cellular recovery time after exposure to stress. Smooth surface of the soft palate and its good flexibility are prerequisites to prevent mechanical irritation and local discomfort. The objective of this review is to provide an update on the most promising advances in novel non-invasive soft-palatal route and the conceptual and technical approaches to the design and formulation of soft-palatal drug delivery systems. In this area, the development of mucoadhesive delivery systems appears to be the most promising strategy. © 2010 Elsevier B.V.
Al Adwan A.S.,Al-Ahliyya Amman University
International Journal of Electronic Healthcare | Year: 2017
As qualitative methods become increasingly popular in the research of information systems (IS), the analysis of resultant data becomes problematic. The primary aim of this paper is to contribute to the literature of qualitative research methodology in the area of information technology adoption. This study aims to outline a potentially powerful combination of grounded theory (GT) and case study research to produce relevant and rigorous theories that facilitate the understanding of emerging socio-technical IS phenomena. The study describes the compatibility of GT theoretical sampling and coding mechanisms as data analysis in conjunction with an interpretive case study strategy. A secondary objective of this study is to provide a real-life research project that shows the applicability of such a combination. The proposed methodology has been applied in the field of electronic health records (EHR) adoption. This study revealed that the application of the suggested methodology resulted in concepts and factors of EHR adoption that are not proposed by generalised theory. © 2017 Inderscience Enterprises Ltd.
Maraqa A.D.,Al-Ahliyya Amman University
European Cytokine Network | Year: 2016
Objective: The aim of the study was to evaluate a possible effect of atorvastatin on renal interleukins (ILs) and prostaglandin E2 (PGE2) in type 1 diabetic rats. Methods: Thirty-two male rats from a local Wister derived strain were included in this prospective study and were classified into four groups. Each group consisted of eight animals: Group 1, non-diabetic negative controls; Group 2, diabetic positive controls; Group 3, non-diabetic rats receiving atorvastatin for 4 weeks; and Group 4, diabetic rats receiving atorvastatin for 4 weeks. At the end of the designated period, the animals were sacrificed by cervical dislocation, and the kidneys were excised and homogenized to determine the level of IL-1β, IL-6, IL-10, and PGE2. The study duration was from June 2015 to May 2016 at Al-Ahlyya Amman University, Amman, Jordan. Results: In the kidneys of rats with streptozotocininduced diabets, the levels of cytokines IL-1β, IL-6, IL-10, and PGE2 were significantly elevated above those of the control group. This clearly showed a detrimental effect of diabetes on the kidney. Treatment of diabetic rats with atorvastatin caused a decrease in all evaluated cytokines to levels near control values. Conclusion: Our data suggest that atorvastatin has the potential to protect or attenuate diabetes-induced renal injury. However, the possible protective effect of atorvastatin should be supported by clinical evidence. © 2017 John Libbey Eurotext.
Abbas M.A.,Al-Ahliyya Amman University |
Taha M.O.,University of Jordan |
Disi A.M.,University of Jordan |
Shomaf M.,University of Jordan
European Journal of Pharmacology | Year: 2013
Endometriosis is one of the most frequent gynecological diseases. In addition to their side effects, available medical therapies may decrease fertility. Current understanding of endometriosis focuses on the role of the immune system in its pathophysiology. Recent research shed light on the immunomo-dulatory effect of vitamin D3. Thus, this study was designed to study the effect of vitamin D3 on regression of endometriotic implants in a rat surgical model. Vitamin D3 reduced cyst cross sectional area by 48.8%. Histologically, vitamin D treatment produced fibrosis as well as apoptosis in the stroma. The results of the present study suggest that vitamin D3 administration may have a beneficial effect in treating endometriosis. © 2013 Elsevier B.V. All rights reserved.
Shambour Q.,Al-Ahliyya Amman University |
Lu J.,University of Technology, Sydney
Journal of Computer and System Sciences | Year: 2015
Although Collaborative Filtering (CF)-based recommender systems have received great success in a variety of applications, they still under-perform and are unable to provide accurate recommendations when users and items have few ratings, resulting in reduced coverage. To overcome these limitations, we propose an effective hybrid user-item trust-based (HUIT) recommendation approach in this paper that fuses the users' and items' implicit trust information. We have also considered and computed user and item global reputations into this approach. This approach allows the recommender system to make an increased number of accurate predictions, especially in circumstances where users and items have few ratings. Experiments on four real-world datasets, particularly a business-to-business (B2B) case study, show that the proposed HUIT recommendation approach significantly outperforms state-of-the-art recommendation algorithms in terms of recommendation accuracy and coverage, as well as significantly alleviating data sparsity, cold-start user and cold-start item problems. © 2015 Elsevier Inc.
AL-Tahrawi M.,Al-Ahliyya Amman University
UPB Scientific Bulletin, Series C: Electrical Engineering | Year: 2015
Feature Selection (FS) is a crucial preprocessing step in Text Classification (TC) systems. FS can be either Class-Based or Corpus-Based. Polynomial Network (PN) classifiers have proved recently to be competitive in TC using a very small subset of corpora features. This paper presents an empirical study of the performance of PN classifiers using Aggressive Class-Based FS. Seven of the stateof- the art FS metrics are experimented and compared: Chi Square (CHI), Information Gain (IG), Odds Ratio (OR), GSS, NGL coefficient, Document Frequency (DF), and Gain Ratio (GR).The study is conducted on the Reuters Benchmark Corpus. Experimental results are presented in terms of both micro-averaged and macro-averaged precision, recall and F measures. Results reveal that aggressive Class-Based Chi-Square and DF metrics work best for Reuters using PN classifiers compared to the other five FS metrics experimented in this research.
Hassan M.,Al-Ahliyya Amman University
International Arab Journal of Information Technology | Year: 2013
Current Internet trends are moving towards decentralization of computation, storage, and resources. Supporting network management for such a vast and a highly complex system has become a challenging issue. A management platform has to sufficiently support decentralization, collaboration, and integration. Grid technologies have the potential to serve as management architecture due to the support of the above features. In this paper, we developed a collaborative network management architecture leveraging the key features of grid technology. Benefiting from this integration, we were able to show that multiple management tasks can be integrated and completed in parallel. This assures the management scalability and efficiency. We also showed that the management information at different networking domains can freely consume the computational resources provided through the grid interface while being executed. Grid interface has guaranteed scalability and reliability for the network management tasks. We have simulated the system prototype and closely studied its efficiency.
Abu-Shikhah N.,Al-Ahliyya Amman University |
Elkarmi F.,Al-Ahliyya Amman University
Energy | Year: 2011
Medium-term load forecasting is an important stage in electric power system planning and operation. It is used in maintenance scheduling, and to plan for outages and major works in the power system. A new technique is proposed which uses hourly loads of successive years to predict hourly loads and peak load for the next selected time span. The proposed method implements a new combination of some existing and well established techniques. This is done by first filtering out the load trend, then applying the SVD (singular value decomposition) technique to de-noise the resulting signal. Hourly load is thus divided to three main components: a) a load trend-following component, b) a random component, and c) a de-noised component. Results of applying the technique to the Jordanian power system showed that good forecasting accuracies are attained. In addition, the proposed method outperforms the traditional exponential curve fitting method. The peak load error was found to be less than 5% using the proposed methodology. It was also found that a lag period of 4 years suits the load forecasting purposes of the Jordanian power system. The proposed method is generic and can be implemented to the hourly loads of any power system. © 2011 Elsevier Ltd.
Abbas M.A.,Al-Ahliyya Amman University
Journal of Steroid Biochemistry and Molecular Biology | Year: 2016
Adipose tissue has long been identified as the major site of vitamin D storage. Recent studies have demonstrated that VDR and vitamin D metabolizing enzymes are expressed in adipocytes. Furthermore, it has been shown that vitamin D regulates adipogenic gene expression as well as adipocyte apoptosis. Vitamin D is active in adipocytes at all levels. It interacts with membrane receptors, adaptor molecules, and nuclear coregulator proteins. Several functions of unliganded nVDR were discovered by studying human samples from patients having hereditary vitamin D resistant rickets, transgenic mice overexpressing the VDR and VDR knockout mice. Through its genomic action, vitamin D participates in the regulation of energy metabolism by controlling the expression of uncoupling proteins. In vitro, vitamin D stimulates lipogenesis and inhibits lipolysis by interacting with mVDR. mVDR is present in caveolae of the plasma membrane and is the same as the classic nVDR. In addition, vitamin D affects directly the expression of the appetite regulating hormone, leptin. Some researchers reported also that vitamin D regulates the expression of the insulin sensitizing hormone, adiponectin. Vitamin D reduced cytokine release and adipose tissue inflammation through the inhibition of NF-κB signaling. Scientific research investigating the role of adipose tissue resident immune cells in the pathogenesis of obesity-associated inflammation is scarce. Obesity is associated with vitamin D deficiency. However there is no scientific evidence to prove that vitamin D deficiency predispose to obesity. Vitamin D supplementation may prevent obesity but it does not lead to weight loss in obese subjects. © 2016 Elsevier Ltd.